AI reshapes corporate boardroom responsibilities
The Star decision has reshaped how directors’ legal duties apply when artificial intelligence influences corporate decisions. The case shifts scrutiny from whether a board made the “right” call to whether it established systems capable of delivering reliable information—particularly when AI processes or generates that data.
Courts now examine information systems, not just outcomes
The Star decision did not depend on the correctness of the board’s choices. Judges instead assessed whether directors had structured reporting, escalation, and oversight mechanisms to ensure they received information that could support informed decisions. This aligns with earlier rulings like Daniels v Anderson and Centro, which required directors to actively engage with the information provided to them.
While AI does not change the content of directors’ duties under Section 180(1) of the Corporations Act, it reshapes how those duties will be assessed. The focus shifts from whether a decision was reasonable to whether the systems producing the underlying information—including AI—were designed to highlight material risks in time for meaningful oversight.
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Directors can no longer treat AI outputs as neutral inputs. The law permits reliance on others’ judgment, but that reliance must have reasonable grounds. AI systems often function as “black boxes,” making it difficult to assess their competence or limitations. Courts may now question whether directors took steps to understand how an AI system was governed and whether those outputs could be tested or challenged.
The duty does not require technical expertise from directors. It remains centered on oversight, not coding. However, boards must now ensure their organizations have structures to identify, validate, and escalate AI-driven risks—whether those risks involve biased outputs, cybersecurity vulnerabilities, or compliance failures under privacy or anti-discrimination laws.
AI governance becomes a legal necessity
The Star ruling carries two key implications for AI use in corporate governance. First, when directors depend on AI-generated outputs, the organization’s information architecture must allow them to recognize the limitations of that reliance before decisions are made. Second, AI introduces operational and legal risks that must be escalated to the board when necessary.
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To meet these requirements, boards should address basic questions: Where is AI used in the business? What decisions does it influence? Who is affected by those decisions? Can the outcomes be reviewed or overridden by humans? If the system is third-party, what assurances exist about its performance and limits?
Public-facing AI policies can help build trust, but they must match actual practices. Misleading statements about AI governance could lead to claims under consumer protection laws. The lesson from Star is straightforward: directors cannot claim ignorance of AI risks if no framework exists to identify, assess, and escalate them. The duty of care now extends to the architecture of information itself.
The legal standard remains unchanged, but the environment has evolved. AI does not create new duties—it intensifies scrutiny of how existing ones are fulfilled. The challenge for boards is not whether to use AI, but whether they can demonstrate how it is governed.
